Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines.
M. M. Manjurul IslamJong-Myon KimPublished in: Reliab. Eng. Syst. Saf. (2019)
Keyphrases
- fault diagnosis
- neural network
- multiclass support vector machines
- expert systems
- bp neural network
- analog circuits
- condition monitoring
- fault detection
- multi class
- fuzzy logic
- rbf neural network
- gas turbine
- fault detection and diagnosis
- power plant
- operating conditions
- real time
- feature selection
- artificial intelligence
- genetic algorithm
- machine learning
- tennessee eastman
- monitoring and fault diagnosis